- Open Access
Emulation of large-scale qubit registers with a phase-space approach
APS Open Sci. 1, 000017 – Published 4 May, 2026
DOI: https://doi.org/10.1103/swn6-s387
Abstract
A phase-space approach is used and benchmarked for the simulation of the continuous-time evolution of large registers of qubits. It is based on a statistical ensemble of independent mean-field trajectories, where mean field is introduced at the level of the qubits, substituting quantum fluctuations/correlations with classical ones. The approach only involves at worse a quadratic cost in the system size, allowing to simulate up to several thousands of qubits on a classical computer. It provides qualitatively accurate description of one-qubit observables’ evolutions, making it a useful reference in comparison to techniques limited to small qubit numbers. The predictive power is, however, less robust for multiqubit observables. We benchmark the method on the -local transverse-field Ising model, considering a large variety of systems ranging from local to all-to-all interactions, and from weak to strong coupling regimes, with up to 2000 qubits. To showcase the versatility of the approach, simulations on two-dimensional and three-dimensional Ising models are also made.
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References (79)
- R. Orús, A practical introduction to tensor networks: Matrix product states and projected entangled pair states, Ann. Phys. 349, 117 (2014).
- F. Verstraete and J. I. Cirac, Matrix product states represent ground states faithfully, Phys. Rev. B 73, 094423 (2006).
- U. Schollwöck, The density-matrix renormalization group in the age of matrix product states, Ann. Phys. 326, 96 (2011).
- J. I. Cirac, D. Perez-Garcia, N. Schuch, and F. Verstraete, Matrix product states and projected entangled pair states: Concepts, symmetries, theorems, Rev. Mod. Phys. 93, 045003 (2021).
- F. Verstraete, V. Murg, and J. I. Cirac, Matrix product states, projected entangled pair states, and variational renormalization group methods for quantum spin systems, Adv. Phys. 57, 143 (2008).
- F. Verstraete and J. I. Cirac, Renormalization algorithms for quantum-many body systems in two and higher dimensions, arXiv:cond-mat/0407066.
- G. Vidal, Entanglement renormalization, Phys. Rev. Lett. 99, 220405 (2007).
- G. Vidal, Class of quantum many-body states that can be efficiently simulated, Phys. Rev. Lett. 101, 110501 (2008).
- D. Gottesman, The Heisenberg representation of quantum computers, in Group22: Proceedings of the XXII International Colloquium on Group Theoretical Methods in Physics, edited by S. P. Corney, R. Delbourgo, and P. D. Jarvis (International Press, Cambridge, MA, 1999), pp. 32–43.
- T. Begušić, J. Gray, and G. K.-L. Chan, Fast and converged classical simulations of evidence for the utility of quantum computing before fault tolerance, Sci. Adv. 10, eadk4321 (2024).
- A. Angrisani, A. Schmidhuber, M. S. Rudolph, M. Cerezo, Z. Holmes, and H.-Y. Huang, Classically estimating observables of noiseless quantum circuits, Phys. Rev. Lett. 135, 170602 (2025).
- P. Rall, D. Liang, J. Cook, and W. Kretschmer, Simulation of qubit quantum circuits via Pauli propagation, Phys. Rev. A 99, 062337 (2019).
- C. Gardiner and P. Zoller, Quantum Noise: A Handbook of Markovian and Non-Markovian Quantum Stochastic Methods with Applications to Quantum Optics (Springer Science & Business Media, Berlin, Germany, 2004).
- R. E. Wyatt, Quantum Dynamics with Trajectories: Introduction to Quantum Hydrodynamics (Springer, New York, 2005).
- Á. S. Sanz and S. Miret-Artés, A Trajectory Description of Quantum Processes. I. Fundamentals: A Bohmian Perspective, Lecture Notes in Physics (Springer, Berlin, 2012), Vol. 850.
- Á. S. Sanz and S. Miret-Artés, A Trajectory Description of Quantum Processes. II. Applications, Lecture Notes in Physics (Springer, Berlin, 2014), Vol. 831.
- X. Oriols and J. Mompart, Applied Bohmian Mechanics: From Nanoscale Systems to Cosmology (CRC Press, Boca Raton, FL, 2019).
- E. Nelson, Derivation of the Schrödinger equation from Newtonian mechanics, Phys. Rev. 150, 1079 (1966).
- E. Nelson, Quantum Fluctuations (Princeton University Press, Princeton, NJ, 1985).
- D. Bohm, A suggested interpretation of the quantum theory in terms of “hidden” variables. I, Phys. Rev. 85, 166 (1952).
- D. Bohm, A suggested interpretation of the quantum theory in terms of “hidden” variables. II, Phys. Rev. 85, 180 (1952).
- E. Deotto and G. Ghirardi, Bohmian mechanics revisited, Found. Phys. 28, 1 (1998).
- D. Dürr and S. Teufel, Bohmian mechanics, in Bohmian Mechanics: The Physics and Mathematics of Quantum Theory (Springer, Berlin, Germany, 2009), pp. 145–171.
- S. M. Davidson, D. Sels, and A. Polkovnikov, Semiclassical approach to dynamics of interacting fermions, Ann. Phys. 384, 128 (2017).
- J. Wurtz, A. Polkovnikov, and D. Sels, Cluster truncated Wigner approximation in strongly interacting systems, Ann. Phys. 395, 341 (2018).
- A. Braemer, J. Vahedi, and M. Gärttner, Cluster truncated Wigner approximation for bond-disordered Heisenberg spin models, Phys. Rev. B 110, 054204 (2024).
- R. P. Feynman, Space-time approach to non-relativistic quantum mechanics, Rev. Mod. Phys. 20, 367 (1948).
- R. P. Feynman, An operator calculus having applications in quantum electrodynamics, Phys. Rev. 84, 108 (1951).
- R. P. Feynman and A. R. Hibbs, Quantum Mechanics and Path Integrals (McGraw-Hill, New York, 1965).
- R. Feynman and A. R. Hibbs, Quantum Mechanics and Path Integrals, Lecture Notes in Physics (Courier Corporation, North Chelmsford, Massachusetts, 1979), Vol. 106, p. 164.
- C. Grosche, F. Steiner, and F. Steiner, Handbook of Feynman Path Integrals (Springer, Berlin, Germany, 1998), Vol. 145.
- S. A. Albeverio, R. J. Høegh-Krohn, and S. Mazzucchi, Mathematical Theory of Feynman Path Integrals: An Introduction (Springer, Berlin, Germany, 2008).
- H. Mori, Transport, collective motion, and Brownian motion, Prog. Theor. Phys. 33, 423 (1965).
- S. Ayik, A stochastic mean-field approach for nuclear dynamics, Phys. Lett. B 658, 174 (2008).
- D. Lacroix and S. Ayik, Stochastic quantum dynamics beyond mean field, Eur. Phys. J. A 50, 95 (2014).
- D. Lacroix, S. Ayik, and B. Yilmaz, Symmetry breaking and fluctuations within stochastic mean-field dynamics: Importance of initial quantum fluctuations, Phys. Rev. C 85, 041602 (2012).
- D. Lacroix, D. Gambacurta, and S. Ayik, Quantal corrections to mean-field dynamics including pairing, Phys. Rev. C 87, 061302 (2013).
- D. Lacroix, S. Hermanns, C. M. Hinz, and M. Bonitz, Ultrafast dynamics of finite Hubbard clusters: A stochastic mean-field approach, Phys. Rev. B 90, 125112 (2014).
- B. Yilmaz, D. Lacroix, and R. Curebal, Importance of realistic phase-space representations of initial quantum fluctuations using the stochastic mean-field approach for fermions, Phys. Rev. C 90, 054617 (2014).
- I. Ulgen, B. Yilmaz, and D. Lacroix, Impact of initial fluctuations on the dissipative dynamics of interacting Fermi systems: A model case study, Phys. Rev. C 100, 054603 (2019).
- D. Lacroix, A. B. Balantekin, M. J. Cervia, A. V. Patwardhan, and P. Siwach, Role of non-Gaussian quantum fluctuations in neutrino entanglement, Phys. Rev. D 106, 123006 (2022).
- D. Lacroix, A. Bauge, B. Yilmaz, M. Mangin-Brinet, A. Roggero, and A. B. Balantekin, Phase-space methods for neutrino oscillations: Extension to multibeams, Phys. Rev. D 110, 103027 (2024).
- O. Kiss, I. Tavernelli, F. Tacchino, D. Lacroix, and A. Roggero, Neutrino thermalization via randomization on a quantum processor, arXiv:2510.24841.
- M. Mangin-Brinet, A. Bauge, and D. Lacroix, Three-flavor neutrino oscillations using the phase space approach, Phys. Rev. D 113, 036026 (2026).
- J. Schachenmayer, A. Pikovski, and A. M. Rey, Many-body quantum spin dynamics with Monte Carlo trajectories on a discrete phase space, Phys. Rev. X 5, 011022 (2015).
- M. Kunimi, K. Nagao, S. Goto, and I. Danshita, Performance evaluation of the discrete truncated Wigner approximation for quench dynamics of quantum spin systems with long-range interactions, Phys. Rev. Res. 3, 013060 (2021).
- R. Khasseh, A. Russomanno, M. Schmitt, M. Heyl, and R. Fazio, Discrete truncated Wigner approach to dynamical phase transitions in Ising models after a quantum quench, Phys. Rev. B 102, 014303 (2020).
- V. P. Singh and H. Weimer, Driven-dissipative criticality within the discrete truncated Wigner approximation, Phys. Rev. Lett. 128, 200602 (2022).
- V. Shenoy, V. Dattatraya Naik, W. Li, and R. Nath, Benchmarking discrete truncated Wigner approximation and neural network quantum states with the exact dynamics in a Rydberg atomic chain, Phys. Scr. 99, 065925 (2024).
- H. Hosseinabadi, O. Chelpanova, and J. Marino, User-friendly truncated Wigner approximation for dissipative spin dynamics, PRX Quantum 6, 030344 (2025).
- H. J. Lipkin, N. Meshkov, and A. Glick, Validity of many-body approximation methods for a solvable model: (I). Exact solutions and perturbation theory, Nucl. Phys. 62, 188 (1965).
- N. Meshkov, A. Glick, and H. J. Lipkin, Validity of many-body approximation methods for a solvable model: (II). Linearization procedures, Nucl. Phys. 62, 199 (1965).
- A. Glick, H. J. Lipkin, and N. Meshkov, Validity of many-body approximation methods for a solvable model: (III). Diagram summations, Nucl. Phys. 62, 211 (1965).
- G. Holzwarth, Four approaches to the function of inertia in a solvable model, Nucl. Phys. A 207, 545 (1973).
- L. M. Robledo, Characterization of octupole correlations in the Lipkin model, Phys. Rev. C 46, 238 (1992).
- A. P. Severyukhin, M. Bender, and P.-H. Heenen, Beyond mean field study of excited states: Analysis within the Lipkin model, Phys. Rev. C 74, 024311 (2006).
- J. Strecka and M. Jascur, A brief account of the Ising and Ising-like models: Mean-field, effective-field and exact results, Acta Phys. Slovaca 65, 235 (2015).
- J. W. Negele, The mean-field theory of nuclear structure and dynamics, Rev. Mod. Phys. 54, 913 (1982).
- M. H. Jensen and P. Bak, Mean-field theory of the three-dimensional anisotropic Ising model as a four-dimensional mapping, Phys. Rev. B 27, 6853 (1983).
- M. F. Zimmer, Ising model in an oscillating magnetic field: Mean-field theory, Phys. Rev. E 47, 3950 (1993).
- L. Waldorp, T. Pham, and H. L. van der Maas, Mean-field theory of the general-spin Ising model, Eur. Phys. J. B 98, 216 (2025).
- L. Wang, B. Teng, Y. Rong, Y. Lü, and Z. Wang, Phase transition properties for the kinetic Ising model in an oscillating magnetic field, Solid State Commun. 152, 1641 (2012).
- G. S. Grest, C. Soukoulis, and K. Levin, Comparative Monte Carlo and mean-field studies of random-field Ising systems, Phys. Rev. B 33, 7659 (1986).
- A. Punya, R. Yimnirun, P. Laoratanakul, and Y. Laosiritaworn, Frequency dependence of the Ising-hysteresis phase-diagram: Mean field analysis, Physica B 405, 3482 (2010).
- M. A. Nielsen and I. L. Chuang, Quantum Computation and Quantum Information (Cambridge University Press, Cambridge, England, 2010).
- H. Rademacher, Einige Sätze über Reihen von allgemeinen Orthogonalfunktionen, Math. Ann. 87, 112 (1922).
- D. Lacroix, Y. Tanimura, S. Ayik, and P. Chomaz, A simplified BBGKY hierarchy for correlated fermions from a stochastic mean-field approach, Eur. Phys. J. A 52, 94 (2016).
- C. H. Bennett, D. P. DiVincenzo, J. A. Smolin, and W. K. Wootters, Mixed-state entanglement and quantum error correction, Phys. Rev. A 54, 3824 (1996).
- W. K. Wootters, Entanglement of formation of an arbitrary state of two qubits, Phys. Rev. Lett. 80, 2245 (1998).
- www.hqi.fr.
- T. Ayral, P. Besserve, D. Lacroix, and E. A. R. Guzman, Quantum computing with and for many-body physics, Eur. Phys. J. A 59, 227 (2023).
- P. Calabrese and J. Cardy, Evolution of entanglement entropy in one-dimensional systems, J. Stat. Mech. (2005) P04010.
- V. Alba and P. Calabrese, Entanglement dynamics after quantum quenches in generic integrable systems, SciPost Phys. 4, 017 (2018).
- B. A. Martin, T. Ayral, F. Jamet, M. J. Rancic, and P. Simon, Combining matrix product states and noisy quantum computers for quantum simulation, Phys. Rev. A 109, 062437 (2024).
- M. Frías-Pérez, L. Tagliacozzo, and M. C. Bañuls, Converting long-range entanglement into mixture: Tensor-network approach to local equilibration, Phys. Rev. Lett. 132, 100402 (2024).
- Á. González, Measurement of areas on a sphere using Fibonacci and latitude–longitude lattices, Math. Geosci. 42, 49 (2010).
- J. P. Snyder, Map Projections—A Working Manual (US Government Printing Office, United States, 1987), Vol. 1395.
- D. Regnier, D. Lacroix, G. Scamps, and Y. Hashimoto, Microscopic description of pair transfer between two superfluid Fermi systems: Combining phase-space averaging and combinatorial techniques, Phys. Rev. C 97, 034627 (2018).
- D. Regnier and D. Lacroix, Microscopic description of pair transfer between two superfluid Fermi systems. II. Quantum mixing of time-dependent Hartree-Fock-Bogolyubov trajectories, Phys. Rev. C 99, 064615 (2019).